Abstract
BotometerLite is advertised as a lightweight bot detector that improves scalability by focusing on only user profile information; furthermore, BotometerLite claims using fewer features only entails a small compromise in individual accuracy. We test the validity of this claim by comparing Botometer with BotometerLite bot likelihood scores for 10,000 randomly sampled users. BotometerLite scores varied drastically from Botometer scores.Bot scores describe how much an account acts like a specific kind of bot. https://botometer.osome.iu.edu/faq
The pearson correlation matrix (\(R^2\) values are the square of the values of this matrix) also shows the scores are weakly correlated.
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